Tensor Completion Through Multiple Kronecker Product Decomposition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00392900" target="_blank" >RIV/67985556:_____/13:00392900 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tensor Completion Through Multiple Kronecker Product Decomposition
Original language description
We propose a novel decomposition approach to impute missing values in tensor data. The method uses smaller scale multiway patches to model the whole data or a small volume encompassing the observed missing entries. Simulations on color images show that our method can recover color images using only 5-10% of pixels, and outperforms other available tensor completion methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1278" target="_blank" >GA102/09/1278: Advanced methods of blind source separation and blind deconvolution</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013
ISBN
978-1-4799-0355-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
3233-3237
Publisher name
IEEE
Place of publication
Vancouver
Event location
Vancouver
Event date
May 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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